Toward a “Hard” Metric for Educational Utility

Education is far too costly an enterprise to operate without precise indicators of the successes and consequences of educational interventions. Unfortunately, many educational economists and educators have resisted measuring the societal impacts of educational programs, options, and interventions because a reliable and valid metric did not exist for those consequences. This article explores alternatives to the metrics utilized thus far in measuring the individually oriented “preferences” used in the conceptualization of utility, and argues that a “hard” metric which would either monetize or impute monetary values for both individual and social outcomes is both possible and useful. A hard metric is one that is independently verifiable based upon values attributed to results. While any such metric will be both imperfect and controversial, we suggest that it is more desirable to attempt its development than to take the greater risk of pretending that one is not possible. Three alternative (and related) types of educational results are suggested: products, outputs, and outcomes. Possible results-oriented indicators for each are suggested. These will serve as a basis for developing a useful hard metric for educational utility.     

Ratings of perceived exertion of ACSM exercise guidelines in individuals varying in aerobic fitness

The physiological responses of high (HF) and low fit (LF) individuals at given perceived exercise intensities were compared to ranges provided by the American College of Sports Medicine (ACSM). Participants were 7 LFand 8 HF men between the ages of 22 and 26 years. All participants performed a maximum oxygen uptake and lactate threshold test and two 15-min experimental runs in which they exercised at a constant perceived exercise intensity (RPE 13 and 17). The LF group exhibited significantly greater maximum oxygen uptake reserve ( % VO2R, p < .05) and velocity of lactate threshold (p < .01) values than HF at RPE 13 and 17. Both groups had significantly greater % VO2R and maximum heart rate values at RPE 13 in comparison with the ACSM ranges, using the highest value for the given range (p < or = .001).